MA Artificial Intelligence
Adopt AI with confidence
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Mode: Online, part-time | Duration: 2 years | Start in: Jan '26 |
Course overview
If you want to apply AI in your workplace, this course is for you. You'll learn core principles, machine learning and statistical methods, and you'll also explore ethical and societal implications. The course prepares you to lead responsibly in today’s tech landscape.
Our Artificial Intelligence MA sits within the School of Economics, Social and Political Science and has been developed in collaboration with the School of Mathematical Sciences and the Web Science Institute (WSI).
Why choose this course?
Conversion master's
You won’t need any existing AI-related qualifications or professional experience to succeed.
Practical learning
You'll develop practice-based theoretical knowledge and get hands-on experience with AI tools.
Holistic knowledge
With a clear view of AI’s bigger picture, you’ll navigate its ethical and societal challenges.
You'll study the following modules:
- Introduction to AI (15 credits)
- How does AI work (15 credits)
- Working with AI Applications (15 credits)
- AI in Social Problem Analysis and Policy Formation (15 credits)
- Responsible AI (15 credits)
- Generative AI (15 credits)
- Designing Research (15 credits)
- Pathway module: Opening the Machine Learning Black Box (15 credits)
- Pathway module: Statistical Learning in Practice (15 credits)
- Dissertation (45 credits)
Entry requirements
Standard entry requirements
To join the course, you’ll need:
- a minimum of a 2:1 class degree in any subject, equivalent to a UK bachelor’s degree; or
- a minimum of a 2:2 class degree in any subject, equivalent to a UK bachelor’s degree, and at least 3 years’ employment in a recognised graduate role
Non-standard entry requirements
If you don’t meet the standard academic requirements, don’t worry. We review applications on a case-by-case basis and will assess whether your background and experience are suitable for this course. We would strongly recommend holding:
- a minimum of a 2:2 class degree in any subject, equivalent to a UK bachelor’s degree
- additional relevant professional or industry qualifications, such as those accredited by professional bodies
Performance pathway
If you don’t have a 2:2 degree, you may be eligible for our performance pathway. On this pathway, you will take the first 15-credit module. Successful completion of this module provides you with an entry route to the full master’s degree.
For this entry route, you’ll need:
- a minimum of 10 years’ experience in a relevant field, with at least 2 years in a senior role
For guidance on your eligibility, please contact our adviser team.
Please note, if you're on the performance pathway, you won’t be eligible for support from Student Finance for the first module. You’ll need to pay the registration fee and the cost of the first module yourself. Once you successfully complete the first module, you can apply for Student Finance to cover the rest of the course, subject to eligibility and Student Finance’s terms and conditions.
What you'll need to provide
Here’s what we’ll ask you to provide for both standard and non-standard entry routes:
- a detailed CV: Highlight your relevant professional and personal experiences
- a professional reference letter: A trusted referee should explain why you’re a strong candidate for this course
- a personal statement (300-500 words): Tell us about your interest in the course, how it aligns with your career goals, and how your experience so far has prepared you for success at master’s level
In your personal statement, highlight examples that demonstrate your abilities in:
- time management
- organisation
- communication
- teamwork
- personal responsibility
- critical thinking
- problem-solving
Get your course brochure
Complete the form to receive your brochure with details on modules, fees, and careers. Our advisers will contact you to offer personalised guidance.
About the WSI
- The WSI is an interdisciplinary research centre led by computer science trailblazer Professor Dame Wendy Hall
- Its research advances responsible, human-centred AI while addressing ethical, social and cultural challenges
- The centre provides a hub for collaboration with global leaders in AI research, governance and policy
Hear from your Programme Director
Dr Craig Webber introduces the online MA Artificial Intelligence programmes, highlighting their role in exploring AI's transformative potential.
Read the video transcript
Hello. I'm Dr Craig Webber, Programme Leader for the suite of online MA Artificial Intelligence programmes here at the University of Southampton.
These programmes are your gateway to exploring the transformative potential of AI, no matter your professional or academic background.
What makes this cluster of programmes unique is the blend of technical mastery, ethical considerations, and practical application.
We don't just teach AI. We show you how to apply it responsibly and effectively to create meaningful change.